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Variables, Variability, and Variations Research: Implications for Medical Informatics

Variables, Variability, and Variations Research: Implications for Medical Informatics Abstract Variations research is one important strategy in the quality management movement designed to improve the quality of health care and to control costs. Information systems are being utilized in variations research to provide an array of potential variables, to provide measures of the variability inherent in these variables, and to assist with the study of the linkages of patient and provider characteristics with interventions and outcomes. This article presents a systems model of inputs, processes, and outcomes with explication of factors related to client, provider, and setting as a heuristic strategy for variable specification. The implications of variable specification, the design and measurement of variability, and the key issue of control in variations research are linked with a discussion of the implications for medical informatics. This content is only available as a PDF. Author notes Presented in part at Informatics: The Infrastructure for Quality Assessment and Improvement in Nursing, Austin, Texas, June 22–25, 1994. Supported in part by grant RO1 NR02215 from the National Institute for Nursing Research, National Institutes of Health. Ms. Reilly's work was supported in part by a predoctoral fellowship from the Agency for Health Care Policy & Research (T32 324S0026). American Medical Informatics Association http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the American Medical Informatics Association Oxford University Press

Variables, Variability, and Variations Research: Implications for Medical Informatics

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References (49)

Publisher
Oxford University Press
Copyright
American Medical Informatics Association
ISSN
1067-5027
eISSN
1527-974X
DOI
10.1136/jamia.1995.95338871
Publisher site
See Article on Publisher Site

Abstract

Abstract Variations research is one important strategy in the quality management movement designed to improve the quality of health care and to control costs. Information systems are being utilized in variations research to provide an array of potential variables, to provide measures of the variability inherent in these variables, and to assist with the study of the linkages of patient and provider characteristics with interventions and outcomes. This article presents a systems model of inputs, processes, and outcomes with explication of factors related to client, provider, and setting as a heuristic strategy for variable specification. The implications of variable specification, the design and measurement of variability, and the key issue of control in variations research are linked with a discussion of the implications for medical informatics. This content is only available as a PDF. Author notes Presented in part at Informatics: The Infrastructure for Quality Assessment and Improvement in Nursing, Austin, Texas, June 22–25, 1994. Supported in part by grant RO1 NR02215 from the National Institute for Nursing Research, National Institutes of Health. Ms. Reilly's work was supported in part by a predoctoral fellowship from the Agency for Health Care Policy & Research (T32 324S0026). American Medical Informatics Association

Journal

Journal of the American Medical Informatics AssociationOxford University Press

Published: May 1, 1995

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